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coling-2020

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PyTorch implementation of a Controllable Image Captioning model with a language-driven mechanism for advancing the region pointer state that keeps it in sync with the state of the language model. Code for the paper Language-Driven Region Pointer Advancement for Controllable Image Captioning (Lindh et al., 2020).

python machine-learning research computer-vision deep-learning pytorch neural-networks < 46FB a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":72580,"originating_url":"https://github.com/topics/coling-2020","user_id":null}}" data-hydro-click-hmac="15f1f5320ab2543ec9ce4cf60b299c7a7d0e51eaa47c913b3de4714a2bb030f7" title="Topic: image-captioning" href="/topics/image-captioning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">image-captioning natural-language-generation paper-implementations multimodal-learning papers-with-code coling-2020 controllable-image-captioning
  • Updated Oct 1, 2021
  • Python

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